SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2401–2450 of 2605 papers

TitleStatusHype
A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving—0
Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse WeatherCode0
DeepFault: Fault Localization for Deep Neural Networks—0
Sparse and noisy LiDAR completion with RGB guidance anduncertaintyCode0
Sparse and noisy LiDAR completion with RGB guidance and uncertaintyCode0
Vulnerable road user detection: state-of-the-art and open challenges—0
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial ExamplesCode0
Real-time 3D Traffic Cone Detection for Autonomous DrivingCode0
Adaptive Stress Testing for Autonomous Vehicles—0
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded CampusCode0
A Real-Time Optimal Eco-driving for Autonomous Vehicles Crossing Multiple Signalized Intersections—0
Autonomous Cars: Vision based Steering Wheel Angle Estimation—0
RED-Attack: Resource Efficient Decision based Attack for Machine LearningCode0
When is it right and good for an intelligent autonomous vehicle to take over control (and hand it back)?—0
Survey of Bayesian Networks Applications to Intelligent Autonomous Vehicles—0
Effectiveness Assessment of Cyber-Physical Systems—0
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset—0
Learning Generalizable Physical Dynamics of 3D Rigid Objects—0
Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data—0
Closing the gap towards end-to-end autonomous vehicle system—0
Parallelized Interactive Machine Learning on Autonomous Vehicles—0
Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks—0
Conversational Intent Understanding for Passengers in Autonomous Vehicles—0
Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous VehiclesCode2
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles—0
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control—0
Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends—0
Computer Vision for Autonomous Vehicles—0
Risk-averse Behavior Planning for Autonomous Driving under Uncertainty—0
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping—0
LEAF: A Benchmark for Federated SettingsCode1
Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving—0
Joint Monocular 3D Vehicle Detection and TrackingCode0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning—0
Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness—0
TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous VehiclesCode0
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents—0
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks—0
Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot DeploymentCode0
Integrated Millimeter Wave and Sub-6 GHz Wireless Networks: A Roadmap for Joint Mobile Broadband and Ultra-Reliable Low-Latency Communications—0
The Responsibility Quantification (ResQu) Model of Human Interaction with Automation—0
A Framework for Probabilistic Generic Traffic Scene Prediction—0
3D Traffic Simulation for Autonomous Vehicles in Unity and PythonCode0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving—0
Action and intention recognition of pedestrians in urban traffic—0
Compositional Verification for Autonomous Systems with Deep Learning Components—0
Approximate Dynamic Programming for Planning a Ride-Sharing System using Autonomous Fleets of Electric Vehicles—0
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems—0
Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions]Code0
Hierarchical Game-Theoretic Planning for Autonomous Vehicles—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified